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Datorios

by Datorios · Since 2020
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ActiveAvailable globallyCloud
Quick facts
VendorDatorios
Year launched2020
StatusActive
LocationPalo Alto, California
Countries servedGlobal
Languages7
Integrations14+
Free tier
Free trial
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About Datorios

Datorios is an observability software from Datorios that supports real-time data management for streaming-driven systems. It provides advanced observability, validation, and compliance features so businesses can trust their data for automation. Built with a data-first approach, Datorios assists organizations in ensuring that their real-time data is reliable and compliant with industry standards. The platform includes options like Bring the Own Cloud (BYOC) and features an overview walkthrough video for onboarding. Key capabilities: advanced observability data validation compliance monitoring real-time alerts customizable integrations Best for: enterprises that need reliable oversight of their real-time data for business automation.

Datorios emerges as a powerful and highly specialized observability platform tailored for real-time data pipelines, particularly those built with Apache Flink. Unlike traditional ETL tools that center on data movement and transformation, Datorios focuses on ensuring that data flowing through complex streaming systems is visible, trustworthy, and fully accountable. In today’s data landscape—where businesses increasingly depend on real-time insights and agentic AI for automation and strategic decisions—Datorios fills a critical gap by offering deep observability into performance, data quality, compliance, and reliability. Its capabilities enable data teams to move beyond reactive monitoring and into proactive, intelligent oversight of their streaming data infrastructure. The user experience in Datorios appears to be carefully designed for data engineers and operations teams who require quick insight into complex issues. Although direct visuals of the dashboard are limited, the platform emphasizes an intuitive and interactive interface, complete with features like record filtering, time window investigations, and in-depth data tracing.

Pros & Cons

What users like
  • +Purpose-Built for Real-Time AI: Designed specifically for Apache Flink and other streaming data platforms like Kafka and Pulsar.
  • +Deep Observability: Offers tracing, data lineage, and compliance tools to monitor and debug real-time pipelines.
  • +Correlated Traces: Links data, code, and infrastructure to pinpoint root causes of issues quickly.
  • +Interactive Dashboards: Visual tools for exploring job graphs, state changes, and event flows.
  • +Low Overhead: Observability tools run externally to Flink jobs, preserving system performance.
  • +Developer-Friendly: Supports CI/CD, test automation, and version control for streamlined dev cycles.
  • +Free to Explore: Publicly available with minimal limitations for trial and experimentation.
What users flag
  • Flink-Centric: Primarily optimized for Apache Flink, which may limit utility for teams using other stream processors.
  • Setup Complexity: Requires integration with existing Flink environments, which may involve a learning curve.
  • Enterprise Focus: Tailored for large-scale, mission-critical systems—may be overkill for smaller or simpler use cases.

Features

Key features

Real-Time Observability for Apache Flink
Provides unparalleled visibility into real-time data streams specifically for Apache Flink applications.
Tracing and Data Lineage
Enables reverse-engineering and extracting missing data traces, and understanding the flow of data for debugging and compliance.
Proactive Data Validity
Helps ensure the accuracy and trustworthiness of real-time data to fuel agentic AI.
Compliance Support
Dramatically reduces audit and compliance times through its data lineage capabilities.
Integration with Real-Time Data Technologies
Built to integrate with Apache Flink, Kafka, Pulsar, Druid, and Pinot for comprehensive monitoring.
Bring Your Own Cloud (BYOC) Deployment
Allows users to deploy Datorios directly within their own cloud environment for enhanced data control and security.

Additional features

Real-Time Business Automation Observability
Provides oversight and insights for automated business processes.
Tracing
Reverse-engineers and extracts missing data traces to enrich existing metrics for effective real-time observability.
Integration (Correlation)
Allows correlation of data, logs, and metrics when they matter most.
Proactive Data Validity
Ensures data accuracy and trustworthiness in real-time.
Compliance
Facilitates meeting regulatory and audit requirements.
Data-First Company Approach
Focuses on solving the real-time observability gap for real-time applications.
Operational Insights
Provides detailed overviews of Flink jobs, session data, statistics, and processed record tracking.
State Evolution Monitoring
Monitors state changes throughout operator event processing, offering insights into operator behavior.
Flink States and Checkpointing Visibility
Provides deep visibility into Flink states and checkpoint execution to understand performance impact.
Resource Utilization, Throughput, and Latency Insights
Offers real-time insights into resource consumption and performance metrics across Flink jobs.
Issue Detection
Detects problems in Flink pipelines instantly, including late data, discarded records, or performance stalls.
Root Cause Analysis
Enables seamless investigation to identify and resolve issues quickly.
Detailed Log Capture
Captures and stores detailed logs for every event processed by Apache Flink.
State Investigation
Allows users to see how state changes over time for insights into operator behavior.
Time Window Analysis
Visualizes various time windows to identify events and detect missing data.
Data Lineage
Tracks the flow of data with upstream and downstream lineage.
Optimized for Apache Flink
Specifically built for Apache Flink, offering unique features and insights.
Empowers Data Teams
Provides tools for data engineers, operations teams, and heads of data to manage Flink jobs effectively.
Actionable Insights
Delivers real-time data and insights for informed decision-making.
SOC 2 Type II Certified Security
Ensures high-level data security and compliance.
Record Metadata Collection
Collects metadata related to data records.
State Data Collection
Gathers data about the system's state.
Window Details Collection
Collects information regarding data windows.
Logs and Metrics Collection
Gathers logs and performance metrics from Flink.
Docker and Kubernetes Installation Support
Supports deployment via Docker and Kubernetes.
Bring Your Own Cloud (BYOC)
Allows running the observability platform directly within the user's cloud environment.
Full Ownership and Control (BYOC)
Provides complete control over resource allocation, scaling, and data flow in BYOC deployments.
Cost Savings (BYOC)
Leverages existing infrastructure to control resource management and allocation.
Apache Flink® Guides
Provides resources and guides specifically for Apache Flink.
Documentation
Offers comprehensive software documentation.
Slack Community
Provides a platform for community interaction and support.
Github
Likely hosts code or resources on Github.
Releases
Provides information on software releases.
One Pager
Offers a concise overview of the product.

Pricing

Free trial
Free version
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Countries & Languages

Global
Countries served
7
Interface languages
19
Billing currencies

Interface languages

EnglishSpanishFrenchGermanDutchItalianPortuguese

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇯🇵JPY🇦🇺AUD🇨🇦CAD🇨🇭CHF🇨🇳CNY🇸🇪SEK🇳🇴NOK🇳🇿NZD🇩🇰DKK🇭🇰HKD🇰🇷KRW🇸🇬SGD🇮🇳INR🇷🇺RUB🇿🇦ZAR🇧🇷BRL

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